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Source channel @githubtrending · Post #15304 · Dec 4

#cplusplus#cross_platform Lynx is an open-source framework that lets you build native mobile and web apps using web skills like CSS and React from a single codebase. It delivers true native performance through a dual-threaded architecture that separates UI rendering from business logic, eliminating lag and enabling instant app launches. This means you can write code once and deploy across Android, iOS, and web platforms, saving development time and costs while maintaining the speed and responsiveness of native applications. https://github.com/lynx-family/lynx

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Machinelearning

@ai_machinelearning_big_data · Post #8615 · 09/23/2025, 05:34 PM

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⚡️Новая модель LFM2-2.6B - лидер в классе до 3B параметров. Ключевые особенности: - лёгкая и быстрая, всего 2.6B параметров - построена на архитектуре v2 (short convs + group query attention) - обучена на 10 трлн токенов, поддерживает контекст до 32k LFM2-2.6B - компактная, но мощная моделька для широкого спектра задач. 🟠Blog post: https://liquid.ai/blog/introducing-lfm2-2-6b-redefining-efficiency-in-language-models 🟠HF: https://huggingface.co/LiquidAI/LFM2-2.6B 🟠Model Bundle on LEAP: https://leap.liquid.ai/models?model=lfm2-2.6b @ai_machinelearning_big_data #AI#LLM#LFM2#OpenSourceAI#Multilingual

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